Julia Zhu

85 total papers · 1.0k total citations
45 papers, 471 citations indexed

About

Julia Zhu is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Julia Zhu has authored 45 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 18 papers in Epidemiology and 7 papers in Virology. Recurrent topics in Julia Zhu's work include HIV/AIDS Research and Interventions (20 papers), HIV, Drug Use, Sexual Risk (15 papers) and HIV Research and Treatment (7 papers). Julia Zhu is often cited by papers focused on HIV/AIDS Research and Interventions (20 papers), HIV, Drug Use, Sexual Risk (15 papers) and HIV Research and Treatment (7 papers). Julia Zhu collaborates with scholars based in Canada, United States and United Kingdom. Julia Zhu's co-authors include Alexandra M. Oster, Binh Le, Cyprian Wejnert, Amanda Smith, Charles E. Rose, Robert S. Hogg, Zishan Cui, Eric Abella Roth, David Moore and Heather L. Armstrong and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Journal of Affective Disorders.

In The Last Decade

Julia Zhu

41 papers receiving 459 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Julia Zhu	261	213	68	67	66	45	471
Cécile Sommen	203 0.8×	174 0.8×	50 0.7×	9 0.1×	79 1.2×	30	449
J Sepúlveda	164 0.6×	103 0.5×	104 1.5×	46 0.7×	31 0.5×	26	546
Inga Veličko	182 0.7×	178 0.8×	83 1.2×	7 0.1×	64 1.0×	27	457
Patrick Habecker	67 0.3×	181 0.8×	56 0.8×	19 0.3×	72 1.1×	50	423
Luana Nepomuceno Gondim Costa Lima	257 1.0×	165 0.8×	38 0.6×	11 0.2×	24 0.4×	80	500
Dan Clutterbuck	237 0.9×	211 1.0×	88 1.3×	44 0.7×	71 1.1×	31	418
Yadollah Pournia	55 0.2×	174 0.8×	64 0.9×	8 0.1×	32 0.5×	45	551
Anthony Nardone	232 0.9×	290 1.4×	113 1.7×	17 0.3×	45 0.7×	43	545
Nicholas J. Moss	314 1.2×	276 1.3×	140 2.1×	15 0.2×	50 0.8×	26	504
Sana Eybpoosh	203 0.8×	80 0.4×	45 0.7×	10 0.1×	22 0.3×	62	509

Countries citing papers authored by Julia Zhu

Since Specialization

Citations

This map shows the geographic impact of Julia Zhu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julia Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Zhu more than expected).

Fields of papers citing papers by Julia Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Zhu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julia Zhu. The network helps show where Julia Zhu may publish in the future.

Co-authorship network of co-authors of Julia Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Zhu. A scholar is included among the top collaborators of Julia Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Zhu. Julia Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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